Underdetermined blind source separation method based on AP clustering

• Main Authors: YIN QUAN, QIU PENG, LUO HUI, MIAO JIGUI
• Format: Patent
• Language: Chinese; English
• Published: 09.07.2021
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention discloses an underdetermined blind source separation method based on AP clustering, and belongs to the field of signal processing, and the method comprises the following steps: (S1) converting an observation signal to a time-frequency domain, so as to screen out a time-frequency single source point; (S2) sampling the time-frequency single source points, and clustering the sampled time-frequency single source points by using an AP clustering algorithm to obtain the number of signal sources and an initial clustering center; (S3) taking the number of the signal sources, the initial clustering center and the time-frequency single source points obtained in the step (S1) as input of a preset target clustering algorithm, correcting the initial clustering center to obtain a corrected clustering center, and estimating a hybrid matrix by taking the corrected clustering center as a column vector of the hybrid matrix; (S4) reconstructing a signal source by using the hybrid matrix, wherein the input paramete